To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier. - Camille Olivia Little; Michael Weylandt; Genevera I. Allen (CoRR, 2022)

Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates. - Camille Olivia Little; Debolina Halder Lina; Genevera I. Allen (CoRR, 2023)

Data Augmentation via Subgroup Mixup for Improving Fairness. - Madeline Navarro; Camille Olivia Little; Genevera I. Allen; Santiago Segarra (ICASSP, 2024)

Fair Feature Importance Scores for Interpreting Decision Trees. - Camille Olivia Little; Debolina Halder Lina; Genevera I. Allen (Trans. Mach. Learn. Res., 2024)

Fair MP-BOOST: Fair and Interpretable Minipatch Boosting. - Camille Olivia Little; Genevera I. Allen (ICASSP, 2025)

iLOCO: Distribution-Free Inference for Feature Interactions. - Camille Olivia Little; Lili Zheng; Genevera I. Allen (CoRR, 2025)